CN113840432B - Tunnel intelligent illumination self-adaptive time sequence control method - Google Patents
Tunnel intelligent illumination self-adaptive time sequence control method Download PDFInfo
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- CN113840432B CN113840432B CN202111188892.9A CN202111188892A CN113840432B CN 113840432 B CN113840432 B CN 113840432B CN 202111188892 A CN202111188892 A CN 202111188892A CN 113840432 B CN113840432 B CN 113840432B
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/105—Controlling the light source in response to determined parameters
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/105—Controlling the light source in response to determined parameters
- H05B47/11—Controlling the light source in response to determined parameters by determining the brightness or colour temperature of ambient light
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/105—Controlling the light source in response to determined parameters
- H05B47/115—Controlling the light source in response to determined parameters by determining the presence or movement of objects or living beings
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/155—Coordinated control of two or more light sources
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/16—Controlling the light source by timing means
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/165—Controlling the light source following a pre-assigned programmed sequence; Logic control [LC]
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- H—ELECTRICITY
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- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/175—Controlling the light source by remote control
- H05B47/18—Controlling the light source by remote control via data-bus transmission
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
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Abstract
The invention discloses a tunnel intelligent illumination self-adaptive time sequence control method, which comprises the following steps: 1. establishing an intelligent tunnel illumination self-adaptive time sequence control system; 2. collecting environment data outside a tunnel entrance; 3. the intelligent illumination real-time control of the tunnel and the accumulation of environment data outside the tunnel entrance; 4. constructing a tunnel intelligent illumination self-adaptive time sequence control model and updating the model; 5. and (5) intelligent illumination self-adaptive time sequence control of the tunnel. According to the invention, a change curve of brightness outside the tunnel along with time is drawn, when the difference between two adjacent brightness control values is smaller than the brightness sensitivity threshold value, the control value of brightness inside the tunnel in the next unit time is unchanged, the adjustment times of the dimming type lighting lamp are reduced, the service life of the dimming type lighting lamp is prolonged, an intelligent lighting self-adaptive time sequence control model is built for the environment data accumulation outside the tunnel entrance, the lighting can still be controlled in a self-adaptive time sequence mode under the condition that equipment is damaged in an environment acquisition mechanism, and the energy-saving effect is good.
Description
Technical Field
The invention belongs to the technical field of intelligent tunnel illumination, and particularly relates to an adaptive time sequence control method for intelligent tunnel illumination.
Background
The brightness in the tunnel is closely related to the running safety of the vehicle, and when the brightness of the tunnel is matched with the external brightness, the running safety in the tunnel is improved, but the maintenance cost and the power consumption cost of the tunnel illumination are increased as a result, and the running cost of the tunnel is increased; when the brightness of the tunnel is larger than the external brightness, the vision of a driver is poor, unnecessary risks are brought to driving, and the driving safety in the tunnel is weakened, so that the contradiction between illumination energy conservation and tunnel safety operation is more and more prominent. The existing intelligent tunnel illumination adopts a mode of turning on a certain proportion of illumination lamps at intervals and turning off a certain proportion of illumination lamps to save energy, and the mode is simple to operate, but has poor illumination effect; the intelligent illumination of the tunnel is controlled in real time by adopting a mode of combining a brightness sensor, a traffic flow sensor, a vehicle speed detector, a climate detecting instrument and the like, but the corresponding sensor has high cost, frequent maintenance and serious drift of acquired data, and the use effect is not ideal.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides the intelligent self-adaptive time sequence control method for the illumination of the tunnel, which draws a time-dependent change curve of the brightness outside the tunnel according to the data acquired by the environment acquisition mechanism, takes the maximum brightness value in the previous unit time on the curve as the control value of the brightness in the tunnel in the next unit time, and when the difference between the adjacent brightness control values is smaller than the brightness sensitivity threshold value, the control value of the brightness in the tunnel in the next unit time is unchanged, thereby reducing the adjustment times of the dimming type illumination lamp, prolonging the service life of the dimming type illumination lamp, and still being capable of self-adaptively controlling the illumination in time sequence under the condition of damaging equipment in the environment acquisition mechanism, having good energy-saving effect and being convenient for popularization and use.
In order to solve the technical problems, the invention adopts the following technical scheme: the intelligent tunnel illumination self-adaptive time sequence control method is characterized by comprising the following steps of:
step one, establishing a tunnel intelligent illumination self-adaptive time sequence control system: the method comprises the steps of establishing a corresponding tunnel intelligent illumination self-adaptive time sequence control system aiming at an actual tunnel, wherein the tunnel intelligent illumination self-adaptive time sequence control system comprises a monitoring host, an environment acquisition mechanism arranged outside a tunnel entrance and a plurality of tunnel area illumination units which are arranged in the monitored tunnel and are cascaded;
the environment acquisition mechanism comprises a brightness meter, an illuminometer, a vehicle flow and speed collector, a precipitation detector, a full-sky imager and an astronomical timer which are all connected with the monitoring host;
the tunnel area lighting unit comprises a microcontroller module and a bus module connected with the microcontroller module; the input end of the microcontroller module is connected with a brightness meter, and the output end of the microcontroller module is connected with a plurality of dimming type illuminating lamps;
the microcontroller module is connected with the monitoring host through the bus module;
the tunnel is internally divided into a tunnel inlet section, a tunnel inlet connecting section, a first transition section, a second transition section, an intermediate section, a tunnel outlet connecting section and a tunnel outlet section from an inlet to an outlet;
the interval of the dimming type illuminating lamp in the entrance section of the tunnel is 0.5 m-1 m;
the interval of the dimming type illuminating lamp in the tunnel entrance connecting section is 1.2 m-1.3 m;
the interval of the dimming type lighting lamp in the first transition section is 1.4 m-1.5 m;
the interval of the dimming type lighting lamp in the second transition section is 2.5 m-3.5 m;
the interval of the dimming type illuminating lamp in the middle section is 7.5 m-8.5 m;
the interval of the dimming type illuminating lamp in the tunnel outlet connecting section is 1.5 m-2.5 m;
the interval of the dimming type illuminating lamp in the tunnel outlet section is 2.5 m-3.5 m;
step two, collecting environment data outside the tunnel entrance: the method comprises the steps of collecting the brightness of the outer side of a tunnel entrance in real time by using a brightness meter, collecting the illuminance of the outer side of the tunnel entrance in real time by using an illuminometer, collecting the traffic flow to enter the tunnel and the speed of each vehicle in real time by using a traffic flow speed collector, collecting the weather state of the outer side of the tunnel in real time by using a precipitation detector and a full-sky imager, and obtaining astronomical time in real time by using an astronomical timer;
step three, intelligent illumination real-time control of the tunnel and environment data accumulation outside the tunnel entrance, and real-time control of the operation of each tunnel area illumination unit according to the environment data outside the tunnel entrance, wherein the process is as follows:
step 301, according to the formulaCalculating illumination intensity L of tunnel entrance section 1 Illumination intensity L of tunnel entrance joint section 2 Illumination intensity L of first transition section 3 Illumination intensity L of second transition section 4 Illumination intensity L of tunnel exit junction 6 And illumination intensity L of tunnel exit section 7 Wherein L is 20 (S) is the brightness outside the tunnel, k is the brightness reduction coefficient of the entrance section, alpha 1 Reducing influencing factors for inlet connection segments alpha 2 Reducing the influencing factor for the first transition section alpha 3 Reducing the influencing factor for the second transition section, L 5 For the illumination intensity of the middle section beta 1 Is the influencing factor of the outlet connection segment, beta 2 As influencing factor of the outlet section, alpha 3 ＜α 2 ＜α 1 ，β 1 ＜β 2 ；
Step 302, determining an inlet section brightness reduction coefficient and a value of middle section illumination brightness according to traffic volume;
in the design speed per hour in the tunnel, when the hour traffic N is less than or equal to 350 veh/(h.ln), the brightness reduction coefficient k of the entrance section is 0.025; when the hour traffic N is more than or equal to 1200 veh/(h.ln), the brightness reduction coefficient k of the inlet section is 0.035; when the hour traffic is between 350 veh/(h.ln) and 1200 veh/(h.ln), the value is taken by linear interpolation;
when the hour traffic N is more than or equal to 1200 veh/(h.ln), the illumination brightness L of the middle section 5 Take 3.5cd/m 2 ；
The hourly traffic volume is 350 veh-When (h.ln) < N < 1200 veh/(h.ln), the illumination intensity L of the intermediate section 5 Take 2.5cd/m 2 ；
When the hour traffic N is less than or equal to 350 veh/(h.ln), the illumination brightness L of the middle section 5 Take 1cd/m 2 ；
Step 303, drawing a change curve of the brightness outside the tunnel along with time according to the data acquired by the environment acquisition mechanism, and taking the maximum brightness value in the previous unit time on the curve as a control value of the brightness in the tunnel in the next unit time;
when the difference between two adjacent brightness control values is smaller than the brightness sensitivity threshold value, the control value of the brightness in the tunnel is not changed in the next unit time;
step 304, adjusting the working state of each tunnel area lighting unit according to the control value of the brightness in the tunnel at the next unit time to enable the tunnel area lighting unit to reach the lighting brightness, and detecting the lighting adjustment result by utilizing a brightness meter in the tunnel area lighting unit;
step 305, recording and accumulating the environment data outside the tunnel entrance corresponding to the illumination adjustment results of each tunnel region in astronomical time, wherein the time corresponding to the illumination adjustment results of each tunnel region in astronomical time is not less than 1 year;
step four, constructing a tunnel intelligent illumination self-adaptive time sequence control model and updating the model: constructing a tunnel intelligent illumination self-adaptive time sequence control model, wherein the tunnel intelligent illumination self-adaptive time sequence control model is a BP neural network model, environment data on the outer side of a tunnel entrance are recorded and accumulated to be input layer nodes of the BP neural network model, and illumination adjustment results of all tunnel areas in astronomical time are output layer nodes of the BP neural network model to train the BP neural network model;
acquiring a working real-time control scheme of each tunnel area lighting unit according to the environment data outside the tunnel entrance, and updating the BP neural network model by using the tunnel area lighting adjustment result in astronomical annual cycle time;
step five, intelligent illumination self-adaptive time sequence control of the tunnel: according to the formulaDetermining the individual tunnel region illumination adjustment results +.>Wherein l 1 Real-time control of the results of the operation of the individual tunnel zone lighting units for tunnel entrance outside environmental data, gamma 1 Is l 1 Weights of (1), l 2 Outputting the result for BP neural network model, gamma 2 Is l 2 Is a weight of (2).
The tunnel intelligent illumination self-adaptive time sequence control method is characterized by comprising the following steps of: the bus module comprises a CAN bus module, and the traffic flow and speed collector comprises a multi-target speed measuring radar.
The tunnel intelligent illumination self-adaptive time sequence control method is characterized by comprising the following steps of: in the third step, k is 0.034 when 1115 veh/(h.ln) is less than or equal to N < 1200 veh/(h.ln);
when 1115 veh/(h.ln) is less than or equal to N < 1200 veh/(h.ln), k is 0.034;
when 1030 veh/(h.ln) is less than or equal to N and less than 1115 veh/(h.ln), k is 0.033;
when 945 veh/(h.ln) is less than or equal to N < 1030 veh/(h.ln), k is 0.032;
when 860 veh/(h.ln) is less than or equal to N < 945 veh/(h.ln), k is 0.031;
when 775 veh/(h.ln) is less than or equal to N < 860 veh/(h.ln), k is 0.030;
when 690 veh/(h.ln) is less than or equal to N < 775 veh/(h.ln), k is 0.029;
when 605 veh/(h.ln) is less than or equal to N < 690 veh/(h.ln), k is 0.028;
when 520 veh/(h.ln) is less than or equal to N < 605 vveh/(h.ln), k is 0.027;
when 435 veh/(h.ln) is less than or equal to N < 520 veh/(h.ln), k is 0.026;
when 350 veh/(h.ln). Ltoreq.N < 435 veh/(h.ln), k takes 0.025.
The tunnel intelligent illumination self-adaptive time sequence control method is characterized by comprising the following steps of: the unit time is 30-60 min.
The tunnel intelligent illumination self-adaptive time sequence control method is characterized by comprising the following steps of: and fifthly, when an environment acquisition mechanism comprises an abnormal brightness meter, an illuminometer, a vehicle flow and speed collector, a precipitation detector or a full-sky imager, the outside environment data of the tunnel entrance is inaccurate, and at the moment, the BP neural network model controls intelligent illumination of the tunnel in a self-adaptive time sequence according to the output result corresponding in the astronomical annual cycle time.
The tunnel intelligent illumination self-adaptive time sequence control method is characterized by comprising the following steps of: the astronomical annual cycle time includes weekdays, weekends, minor long false and major long false.
The tunnel intelligent illumination self-adaptive time sequence control method is characterized by comprising the following steps of: said alpha 1 Taking 0.5, alpha 2 Taking 0.15, alpha 3 Taking 0.05, beta 1 Taking 3, beta 2 Taking 5.
The beneficial effects of the invention are as follows: according to the data collected by the environment collection mechanism, a change curve of the brightness outside the tunnel along with time is drawn, the maximum brightness value in the previous unit time on the curve is used as the control value of the brightness inside the tunnel in the next unit time, when the difference between the adjacent brightness control values is smaller than the brightness sensitivity threshold value, the control value of the brightness inside the tunnel in the next unit time is unchanged, the adjustment times of the dimming type lighting lamp are reduced, the service life of the dimming type lighting lamp is prolonged, an intelligent lighting self-adaptive time sequence control model is built through the accumulation of the environment data outside the tunnel entrance, the lighting can be still self-adaptively controlled in time sequence under the condition that damaged equipment exists in the environment collection mechanism, and the energy saving effect is good.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
FIG. 1 is a block flow diagram of the method of the present invention.
Detailed Description
As shown in fig. 1, the method for controlling the self-adaptive time sequence of intelligent illumination of a tunnel comprises the following steps:
step one, establishing a tunnel intelligent illumination self-adaptive time sequence control system: the method comprises the steps of establishing a corresponding tunnel intelligent illumination self-adaptive time sequence control system aiming at an actual tunnel, wherein the tunnel intelligent illumination self-adaptive time sequence control system comprises a monitoring host, an environment acquisition mechanism arranged outside a tunnel entrance and a plurality of tunnel area illumination units which are arranged in the monitored tunnel and are cascaded;
the environment acquisition mechanism comprises a brightness meter, an illuminometer, a vehicle flow and speed collector, a precipitation detector, a full-sky imager and an astronomical timer which are all connected with the monitoring host;
the tunnel area lighting unit comprises a microcontroller module and a bus module connected with the microcontroller module; the input end of the microcontroller module is connected with a brightness meter, and the output end of the microcontroller module is connected with a plurality of dimming type illuminating lamps;
the microcontroller module is connected with the monitoring host through the bus module;
the tunnel is internally divided into a tunnel inlet section, a tunnel inlet connecting section, a first transition section, a second transition section, an intermediate section, a tunnel outlet connecting section and a tunnel outlet section from an inlet to an outlet;
the interval of the dimming type illuminating lamp in the entrance section of the tunnel is 0.5 m-1 m;
the interval of the dimming type illuminating lamp in the tunnel entrance connecting section is 1.2 m-1.3 m;
the interval of the dimming type lighting lamp in the first transition section is 1.4 m-1.5 m;
the interval of the dimming type lighting lamp in the second transition section is 2.5 m-3.5 m;
the interval of the dimming type illuminating lamp in the middle section is 7.5 m-8.5 m;
the interval of the dimming type illuminating lamp in the tunnel outlet connecting section is 1.5 m-2.5 m;
the interval of the dimming type illuminating lamp in the tunnel outlet section is 2.5 m-3.5 m;
step two, collecting environment data outside the tunnel entrance: the method comprises the steps of collecting the brightness of the outer side of a tunnel entrance in real time by using a brightness meter, collecting the illuminance of the outer side of the tunnel entrance in real time by using an illuminometer, collecting the traffic flow to enter the tunnel and the speed of each vehicle in real time by using a traffic flow speed collector, collecting the weather state of the outer side of the tunnel in real time by using a precipitation detector and a full-sky imager, and obtaining astronomical time in real time by using an astronomical timer;
step three, intelligent illumination real-time control of the tunnel and environment data accumulation outside the tunnel entrance, and real-time control of the operation of each tunnel area illumination unit according to the environment data outside the tunnel entrance, wherein the process is as follows:
step 301, according to the formulaCalculating illumination intensity L of tunnel entrance section 1 Illumination intensity L of tunnel entrance joint section 2 Illumination intensity L of first transition section 3 Illumination intensity L of second transition section 4 Illumination intensity L of tunnel exit junction 6 And illumination intensity L of tunnel exit section 7 Wherein L is 20 (S) is the brightness outside the tunnel, k is the brightness reduction coefficient of the entrance section, alpha 1 Reducing influencing factors for inlet connection segments alpha 2 Reducing the influencing factor for the first transition section alpha 3 Reducing the influencing factor for the second transition section, L 5 For the illumination intensity of the middle section beta 1 Is the influencing factor of the outlet connection segment, beta 2 As influencing factor of the outlet section, alpha 3 ＜α 2 ＜α 1 ，β 1 ＜β 2 ；
Step 302, determining an inlet section brightness reduction coefficient and a value of middle section illumination brightness according to traffic volume;
in the design speed per hour in the tunnel, when the hour traffic N is less than or equal to 350 veh/(h.ln), the brightness reduction coefficient k of the entrance section is 0.025; when the hour traffic N is more than or equal to 1200 veh/(h.ln), the brightness reduction coefficient k of the inlet section is 0.035; when the hour traffic is between 350 veh/(h.ln) and 1200 veh/(h.ln), the value is taken by linear interpolation;
when the hour traffic N is more than or equal to 1200 veh/(h.ln), the illumination brightness L of the middle section 5 Take 3.5cd/m 2 ；
When the hour traffic volume is 350 veh/(h.ln) < N < 1200 veh/(h.ln), the illumination brightness L of the middle section 5 Take 2.5cd/m 2 ；
When the hour traffic N is less than or equal to 350 veh/(h.ln), the illumination brightness L of the middle section 5 Take 1cd/m 2 ；
Step 303, drawing a change curve of the brightness outside the tunnel along with time according to the data acquired by the environment acquisition mechanism, and taking the maximum brightness value in the previous unit time on the curve as a control value of the brightness in the tunnel in the next unit time;
when the difference between two adjacent brightness control values is smaller than the brightness sensitivity threshold value, the control value of the brightness in the tunnel is not changed in the next unit time;
step 304, adjusting the working state of each tunnel area lighting unit according to the control value of the brightness in the tunnel at the next unit time to enable the tunnel area lighting unit to reach the lighting brightness, and detecting the lighting adjustment result by utilizing a brightness meter in the tunnel area lighting unit;
step 305, recording and accumulating the environment data outside the tunnel entrance corresponding to the illumination adjustment results of each tunnel region in astronomical time, wherein the time corresponding to the illumination adjustment results of each tunnel region in astronomical time is not less than 1 year;
it should be noted that, divide into different seasons in 1 year, the illuminance and the luminance of each day are close in every season, and then the time horizon of daytime and night every day is close, and the season replacement of a place year is unchangeable, and then utilizes the tunnel illumination condition on the astronomical annual cycle time of each year to control the tunnel illumination lamps and lanterns of corresponding cycle time point afterwards, and the practicality is strong.
Step four, constructing a tunnel intelligent illumination self-adaptive time sequence control model and updating the model: constructing a tunnel intelligent illumination self-adaptive time sequence control model, wherein the tunnel intelligent illumination self-adaptive time sequence control model is a BP neural network model, environment data on the outer side of a tunnel entrance are recorded and accumulated to be input layer nodes of the BP neural network model, and illumination adjustment results of all tunnel areas in astronomical time are output layer nodes of the BP neural network model to train the BP neural network model;
acquiring a working real-time control scheme of each tunnel area lighting unit according to the environment data outside the tunnel entrance, and updating the BP neural network model by using the tunnel area lighting adjustment result in astronomical annual cycle time;
step five, intelligent illumination self-adaptive time sequence control of the tunnel: according to the formulaDetermining the individual tunnel region illumination adjustment results +.>Wherein l 1 Real-time control of the results of the operation of the individual tunnel zone lighting units for tunnel entrance outside environmental data, gamma 1 Is l 1 Weights of (1), l 2 Outputting the result for BP neural network model, gamma 2 Is l 2 Is a weight of (2).
In this embodiment, the bus module includes a CAN bus module, and the traffic flow and speed collector includes a multi-target speed measuring radar.
In the third embodiment, k is 0.034 when 1115 veh/(h.ln) < N < 1200 veh/(h.ln);
when 1115 veh/(h.ln) is less than or equal to N < 1200 veh/(h.ln), k is 0.034;
when 1030 veh/(h.ln) is less than or equal to N and less than 1115 veh/(h.ln), k is 0.033;
when 945 veh/(h.ln) is less than or equal to N < 1030 veh/(h.ln), k is 0.032;
when 860 veh/(h.ln) is less than or equal to N < 945 veh/(h.ln), k is 0.031;
when 775 veh/(h.ln) is less than or equal to N < 860 veh/(h.ln), k is 0.030;
when 690 veh/(h.ln) is less than or equal to N < 775 veh/(h.ln), k is 0.029;
when 605 veh/(h.ln) is less than or equal to N < 690 veh/(h.ln), k is 0.028;
when 520 veh/(h.ln) is less than or equal to N < 605 vveh/(h.ln), k is 0.027;
when 435 veh/(h.ln) is less than or equal to N < 520 veh/(h.ln), k is 0.026;
when 350 veh/(h.ln). Ltoreq.N < 435 veh/(h.ln), k takes 0.025.
In this embodiment, the unit time is 30min to 60min.
In the fifth embodiment, in the step, when the brightness meter, the illuminometer, the vehicle flow and speed collector, the precipitation detector or the all-sky imager in the environment collection mechanism are abnormal, the environment data outside the tunnel entrance is inaccurate, and at this time, the BP neural network model controls the intelligent illumination of the tunnel in a self-adaptive time sequence according to the output result corresponding in the astronomical annual cycle time.
In this embodiment, the astronomical annual cycle time includes weekdays, weekends, small long false, and large long false.
In this embodiment, the α 1 Taking 0.5, alpha 2 Taking 0.15, alpha 3 Taking 0.05, beta 1 Taking 3, beta 2 Taking 5.
When the intelligent illumination system is used, the intelligent illumination system of the tunnel adopts a real-time control mode under normal working conditions, the sensor equipment is used for collecting the change data of the environment outside the tunnel, and the illumination brightness in the tunnel is adjusted by taking 1h as a period. The system can divide 365 days all the year into 4 kinds, namely working days, weekends, small long false and large long false, and records the information of daily traffic volume, extra-tunnel brightness, weather conditions and the like which change along with astronomical time. Because environmental factors such as tunnel cave outer brightness, traffic volume can change along with the time, and the interior illumination brightness of hole needs to carry out corresponding real-time adjustment along with the change, if the dimming frequency and the sensitivity setting of illumination centralized control ware are too high, can reduce lamps and lanterns and controller's life, also be unfavorable for the steady operation of whole tunnel lighting system. Therefore, the project avoids frequent conversion by means of setting the dimming control period and the sensitivity threshold;
the normal operation of equipment such as an external environment acquisition sensor, an illumination centralized controller and the like is a precondition that the whole intelligent illumination dimming system can be realized, but the situation that the equipment fails, is damaged or has larger measurement error is unavoidable in the actual operation process. When one or more devices are in fault, an intelligent illumination self-adaptive time sequence control model is built through accumulation of environment data outside a tunnel entrance, and illumination can still be controlled in a self-adaptive time sequence mode under the condition that damaged devices exist in an environment acquisition mechanism;
in the process of tunnel operation, scenes such as traffic accidents, fire accidents, maintenance and the like can occur, the tunnel lighting system is generally required to enter a full-power working state under the special working conditions, when an emergency occurs, a supervisory central computer manager manually controls the lighting system, and when the special working conditions are finished, the control mode under the normal working conditions is restored manually.
The foregoing description is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and any simple modification, variation and equivalent structural changes made to the above embodiment according to the technical substance of the present invention still fall within the scope of the technical solution of the present invention.
Claims (7)
1. The intelligent tunnel illumination self-adaptive time sequence control method is characterized by comprising the following steps of:
step one, establishing a tunnel intelligent illumination self-adaptive time sequence control system: the method comprises the steps of establishing a corresponding tunnel intelligent illumination self-adaptive time sequence control system aiming at an actual tunnel, wherein the tunnel intelligent illumination self-adaptive time sequence control system comprises a monitoring host, an environment acquisition mechanism arranged outside a tunnel entrance and a plurality of tunnel area illumination units which are arranged in the monitored tunnel and are cascaded;
the environment acquisition mechanism comprises a brightness meter, an illuminometer, a vehicle flow and speed collector, a precipitation detector, a full-sky imager and an astronomical timer which are all connected with the monitoring host;
the tunnel area lighting unit comprises a microcontroller module and a bus module connected with the microcontroller module; the input end of the microcontroller module is connected with a brightness meter, and the output end of the microcontroller module is connected with a plurality of dimming type illuminating lamps;
the microcontroller module is connected with the monitoring host through the bus module;
the tunnel is internally divided into a tunnel inlet section, a tunnel inlet connecting section, a first transition section, a second transition section, an intermediate section, a tunnel outlet connecting section and a tunnel outlet section from an inlet to an outlet;
the interval of the dimming type illuminating lamp in the entrance section of the tunnel is 0.5 m-1 m;
the interval of the dimming type illuminating lamp in the tunnel entrance connecting section is 1.2 m-1.3 m;
the interval of the dimming type lighting lamp in the first transition section is 1.4 m-1.5 m;
the interval of the dimming type lighting lamp in the second transition section is 2.5 m-3.5 m;
the interval of the dimming type illuminating lamp in the middle section is 7.5 m-8.5 m;
the interval of the dimming type illuminating lamp in the tunnel outlet connecting section is 1.5 m-2.5 m;
the interval of the dimming type illuminating lamp in the tunnel outlet section is 2.5 m-3.5 m;
step two, collecting environment data outside the tunnel entrance: the method comprises the steps of collecting the brightness of the outer side of a tunnel entrance in real time by using a brightness meter, collecting the illuminance of the outer side of the tunnel entrance in real time by using an illuminometer, collecting the traffic flow to enter the tunnel and the speed of each vehicle in real time by using a traffic flow speed collector, collecting the weather state of the outer side of the tunnel in real time by using a precipitation detector and a full-sky imager, and obtaining astronomical time in real time by using an astronomical timer;
step three, intelligent illumination real-time control of the tunnel and environment data accumulation outside the tunnel entrance, and real-time control of the operation of each tunnel area illumination unit according to the environment data outside the tunnel entrance, wherein the process is as follows:
step 301, according to the formulaCalculating illumination intensity L of tunnel entrance section 1 Illumination intensity L of tunnel entrance joint section 2 Illumination intensity L of first transition section 3 Illumination intensity L of second transition section 4 Illumination intensity L of tunnel exit junction 6 And illumination intensity L of tunnel exit section 7 Wherein L is 20 (S) is the brightness outside the tunnel, k is the brightness reduction coefficient of the entrance section, alpha 1 Reducing influencing factors for inlet connection segments alpha 2 Reducing the influencing factor for the first transition section alpha 3 Reducing the influencing factor for the second transition section, L 5 For the illumination intensity of the middle section beta 1 Is the influencing factor of the outlet connection segment, beta 2 As influencing factor of the outlet section, alpha 3 ＜α 2 ＜α 1 ，β 1 ＜β 2 ；
Step 302, determining an inlet section brightness reduction coefficient and a value of middle section illumination brightness according to traffic volume;
in the design speed per hour in the tunnel, when the hour traffic N is less than or equal to 350 veh/(h.ln), the brightness reduction coefficient k of the entrance section is 0.025; when the hour traffic N is more than or equal to 1200 veh/(h.ln), the brightness reduction coefficient k of the inlet section is 0.035; when the hour traffic is between 350 veh/(h.ln) and 1200 veh/(h.ln), the value is taken by linear interpolation;
when the hour traffic N is more than or equal to 1200 veh/(h.ln), the illumination brightness L of the middle section 5 Take 3.5cd/m 2 ；
When the hour traffic volume is 350 veh/(h.ln) < N < 1200 veh/(h.ln), the illumination brightness L of the middle section 5 Take 2.5cd/m 2 ；
When the hour traffic N is less than or equal to 350 veh/(h.ln), the illumination brightness L of the middle section 5 Take 1cd/m 2 ；
Step 303, drawing a change curve of the brightness outside the tunnel along with time according to the data acquired by the environment acquisition mechanism, and taking the maximum brightness value in the previous unit time on the curve as a control value of the brightness in the tunnel in the next unit time;
when the difference between two adjacent brightness control values is smaller than the brightness sensitivity threshold value, the control value of the brightness in the tunnel is not changed in the next unit time;
step 304, adjusting the working state of each tunnel area lighting unit according to the control value of the brightness in the tunnel at the next unit time to enable the tunnel area lighting unit to reach the lighting brightness, and detecting the lighting adjustment result by utilizing a brightness meter in the tunnel area lighting unit;
step 305, recording and accumulating the environment data outside the tunnel entrance corresponding to the illumination adjustment results of each tunnel region in astronomical time, wherein the time corresponding to the illumination adjustment results of each tunnel region in astronomical time is not less than 1 year;
step four, constructing a tunnel intelligent illumination self-adaptive time sequence control model and updating the model: constructing a tunnel intelligent illumination self-adaptive time sequence control model, wherein the tunnel intelligent illumination self-adaptive time sequence control model is a BP neural network model, environment data on the outer side of a tunnel entrance are recorded and accumulated to be input layer nodes of the BP neural network model, and illumination adjustment results of all tunnel areas in astronomical time are output layer nodes of the BP neural network model to train the BP neural network model;
acquiring a working real-time control scheme of each tunnel area lighting unit according to the environment data outside the tunnel entrance, and updating the BP neural network model by using the tunnel area lighting adjustment result in astronomical annual cycle time;
step five, intelligent illumination self-adaptive time sequence control of the tunnel: according to the formulaDetermining the individual tunnel region illumination adjustment results +.>Wherein l 1 Real-time control of the results of the operation of the individual tunnel zone lighting units for tunnel entrance outside environmental data, gamma 1 Is l 1 Weights of (1), l 2 Outputting the result for BP neural network model, gamma 2 Is l 2 Is a weight of (2).
2. The tunnel intelligent lighting self-adaptive time sequence control method according to claim 1, wherein the method comprises the following steps: the bus module comprises a CAN bus module, and the traffic flow and speed collector comprises a multi-target speed measuring radar.
3. The tunnel intelligent lighting self-adaptive time sequence control method according to claim 1, wherein the method comprises the following steps: in the third step, k is 0.034 when 1115 veh/(h.ln) is less than or equal to N < 1200 veh/(h.ln);
when 1115 veh/(h.ln) is less than or equal to N < 1200 veh/(h.ln), k is 0.034;
when 1030 veh/(h.ln) is less than or equal to N and less than 1115 veh/(h.ln), k is 0.033;
when 945 veh/(h.ln) is less than or equal to N < 1030 veh/(h.ln), k is 0.032;
when 860 veh/(h.ln) is less than or equal to N < 945 veh/(h.ln), k is 0.031;
when 775 veh/(h.ln) is less than or equal to N < 860 veh/(h.ln), k is 0.030;
when 690 veh/(h.ln) is less than or equal to N < 775 veh/(h.ln), k is 0.029;
when 605 veh/(h.ln) is less than or equal to N < 690 veh/(h.ln), k is 0.028;
when 520 veh/(h.ln) is less than or equal to N < 605 vveh/(h.ln), k is 0.027;
when 435 veh/(h.ln) is less than or equal to N < 520 veh/(h.ln), k is 0.026;
when 350 veh/(h.ln). Ltoreq.N < 435 veh/(h.ln), k takes 0.025.
4. The tunnel intelligent lighting self-adaptive time sequence control method according to claim 1, wherein the method comprises the following steps: the unit time is 30-60 min.
5. The tunnel intelligent lighting self-adaptive time sequence control method according to claim 1, wherein the method comprises the following steps: and fifthly, when an environment acquisition mechanism comprises an abnormal brightness meter, an illuminometer, a vehicle flow and speed collector, a precipitation detector or a full-sky imager, the outside environment data of the tunnel entrance is inaccurate, and at the moment, the BP neural network model controls intelligent illumination of the tunnel in a self-adaptive time sequence according to the output result corresponding in the astronomical annual cycle time.
6. The tunnel intelligent lighting self-adaptive time sequence control method according to claim 1, wherein the method comprises the following steps: the astronomical annual cycle time includes weekdays, weekends, minor long false and major long false.
7. The tunnel intelligent lighting self-adaptive time sequence control method according to claim 1, wherein the method comprises the following steps: said alpha 1 Taking 0.5, alpha 2 Taking 0.15, alpha 3 Taking 0.05, beta 1 Taking 3, beta 2 Taking 5.
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